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Record W2155284323 · doi:10.1109/newcas.2011.5981297

Adapting the Doherty amplifier for millimetre-wave CMOS applications

2011· article· en· W2155284323 on OpenAlexaff
Stefan Shopov, Rony E. Amaya, John Rogers, Calvin Plett

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsCarleton University
Fundersnot available
KeywordsAmplifierCMOSExtremely high frequencyElectrical engineeringFootprintVoltageElectrical impedanceMillimetre waveBiasingElectronic engineeringComputer scienceOptoelectronicsEngineeringMaterials scienceTelecommunications

Abstract

fetched live from OpenAlex

This paper investigates the difficulties of implementing a Doherty power amplifier (DPA) in CMOS at millimetre-wave (mm-wave) frequencies. A simplified circuit-level model of the Doherty is proposed to study the performance limitations of deep sub-micron technologies, namely the output impedance, knee voltage, and breakdown voltage. Subsequently, the trends found with the model are used to implement a reconfigurable DPA at E-band frequencies in a commercially available 90-nm RF-CMOS process. The DPA consumes 21.7 mA from 1.5 V and produces 11.7 dBm of output power at P <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1dB</sub> with a P AE of 30.6 % and a 6-dB back-off PAE of 15.6 %. The reconfigurable option is bias controlled and improves the gain by 3.2 dB while increasing the current consumption by 7.1 mA. The circuit footprint is 1.53 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> and the efficiency characteristics are within 5 % of the model prediction.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.989
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.098
GPT teacher head0.208
Teacher spread0.110 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2011
Admission routes1
Has abstractyes

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